CN115439009A - Intelligent auxiliary bid evaluation decision-making system - Google Patents

Abstract

The invention provides an intelligent auxiliary bid evaluation decision-making system, which comprises a screening unit, an early warning unit, a first acquisition unit, a second acquisition unit and a calculation unit, wherein the screening unit can screen bidders without performing capability and with potential risks in the first step, so that the complexity in the work of a scoring link is reduced, the screening unit can quickly and efficiently select bidders with performing capability, can check transaction and administrative punishment closely related to credit conditions such as financial statements and operating conditions of the bidders, and related companies of bidder persons to comprehensively check and eliminate the potential risks, can check bid records related to the bidders in the bid evaluation decision platform big data through the early warning unit, check whether bad records exist, and can carry out filing on the files when the bidding documents are found to have a phenomenon inconsistent with reality, so that the system can conveniently carry out early warning when the bidding next time.

Description

Intelligent auxiliary bid evaluation decision-making system

Technical Field

The invention relates to the field of computers, in particular to an intelligent auxiliary bid evaluation decision-making system.

Background

With the rapid development of social economy, bidding is used as a commonly adopted competitive purchasing mode, the transaction efficiency can be better improved and the transaction cost can be reduced in purchasing transaction, the main process of bidding purchasing is to issue bidding information for a tenderer, then all the tenderers make bidding documents according to the requirements of bidding items for the tenderer to check, and the tenderer selects one of the bidding documents which meets the requirements of the tenderer as a winning bid party.

In the existing intelligent auxiliary bid evaluation decision-making system, the contents of bid documents are obtained first and then the qualification of a company is checked, so that the working difficulty is increased, the time spent by the system is more, and meanwhile, whether a bidder has the ability to perform or not and whether the potential risk exists or not are not comprehensively checked, so that certain hidden dangers exist in bid inviting.

Disclosure of Invention

In order to solve the above technical problems, the present invention provides an intelligent auxiliary bid evaluation decision system. Based on the above, the invention provides an intelligent auxiliary bid evaluation decision-making system, which comprises a screening unit, a bidding evaluation decision-making unit and a decision-making unit, wherein the screening unit is set as a first unit of the bid evaluation decision-making system and screens qualified bidders;

the early warning unit is used for searching big data, detecting bad records existing in the bidding process of the bidders and recording detected results;

the first acquisition unit is used for acquiring a scoring rule in the bidding document and determining the formulated scoring rule;

a second obtaining unit for obtaining the item content of the bid document;

the scoring unit is used for carrying out standard scoring on the item contents of the bid documents acquired by the second acquisition unit according to the scoring rule acquired by the first acquisition unit;

and the calculating unit is used for calculating the scores in the scoring unit according to a preset scoring formula to obtain the total score of the bid evaluation of the bid document.

Optionally, the first obtaining unit obtains the rating rules specified by the bidding document given by the bidding party in terms of price, material, appearance, process and the like, stores the rating rules in the database, and uses the rating rules as the basis for system rating, thereby effectively and clearly displaying the rating rules.

Optionally, the second obtaining unit obtains the bid document of the bidder, and extracts key information of relevant scoring contents such as price, material, appearance, and process from the bid document.

Optionally, the scoring unit scores systematically according to scoring rules given by the tenderer in the database, and records the scores obtained on the case.

Optionally, the calculating unit substitutes a preset scoring formula, substitutes scores obtained by the items of the bidders, and calculates a total score.

Optionally, the specific bid evaluation step is as follows:

step S1: the screening unit screens the credit condition of the company and the risk of the associated company;

step S2: the early warning unit carries out early warning and record recording on the badly recorded bidders with risks;

and step S3: a first obtaining unit obtains a bidding party scoring rule;

and step S4: the second acquisition unit acquires project information of a bidder;

step S5: the scoring unit scores the items of the bidders;

step S6: the calculating unit performs a normative calculation on the scores obtained by the bidders.

Optionally, the step S1 includes the following steps:

step S11: checking whether the registration information, financial statement, payment record, enterprise development history, operation condition and the like of the company have abnormal phenomena from the information of the bidder acquired by the screening unit;

step S12: checking whether there is an administrative penalty closely related to the credit status for the company in the case of no abnormality at step S11;

step S13: in the case of no abnormality in step S12, the credit status check is performed on the company related to the corporate identity.

Optionally, step S2 as described above includes the following steps:

step S21: searching whether the bidder has bad records through the large platform data;

step S22: if there is no abnormality in step S21, the contents of the bidder file are checked for duplicates.

Optionally, the first obtaining unit extracts the keywords and the corresponding scores as well as the formulas for increasing and decreasing the related scores through the bid evaluation data in the bid document uploaded by the bid applicant, the first obtaining unit has a private hard disk of itself, shared resources do not exist, the first obtaining unit and the second obtaining unit communicate through a protocol, parallel processing and expansion capabilities are better, the first obtaining unit and the second obtaining unit are independent of each other, data of the first obtaining unit and the second obtaining unit are processed respectively, after the data are processed, the obtained results are transmitted to the scoring unit, and the scoring unit performs corresponding scoring.

Optionally, the second obtaining unit realizes storage and search of the bid information by building a data integration platform, building a bid information database, deploying a data analysis platform, and building a system bottom framework, the bid information database has good linear expansion capability, has the characteristics of efficient parallel operation, parallel storage and the like, can be used as a storage, calculation and analysis engine of structured big data, stores and searches efficiently, and provides contents corresponding to accurate scoring.

The invention has the following advantages: the invention provides an intelligent auxiliary bid evaluation decision-making system through improvement, compared with the same type of equipment, the system has the following improvement:

the method has the advantages that: the invention provides an intelligent auxiliary bid evaluation decision-making system, which can screen bidders without performing ability and with potential risks in the first step through a screening unit, thereby reducing the complexity of the work of a scoring link, enabling the system to select bidders with performing ability more quickly and efficiently, and reducing the workload of scoring.

The method has the advantages that: the invention provides an intelligent auxiliary bid evaluation decision-making system, which searches related bid records of a bidder in big data of a bid evaluation decision-making platform through an early warning unit, checks whether bad records exist, and records the bid files when the fact that the bid files do not conform to the reality is found, so that the system can conveniently carry out early warning when the bids next time.

The method has the advantages that: the invention provides an intelligent auxiliary bid evaluation decision-making system.A screening unit can check the transaction and administrative punishment closely related to the credit status, such as financial statements and operating status of the bidder, and the related company of the bidder, comprehensively check, eliminate potential risks and select the most suitable bidder for the tenderer.

Drawings

FIG. 1 is a schematic diagram of an intelligent auxiliary bid evaluation decision system according to the present invention;

FIG. 2 is a schematic flow chart of an intelligent auxiliary bid evaluation decision method according to the present invention;

FIG. 3 is a schematic view of the flow structure of S1 of the present invention;

FIG. 4 is a schematic view of the flow structure of S2 of the present invention;

description of the reference numerals: the system comprises a screening unit-1, an early warning unit-2, a first acquisition unit-3, a second acquisition unit-4, a scoring unit-5 and a calculation unit-6.

Detailed Description

In the description of the present invention, it should be noted that the terms "center", "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referred apparatus or element must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.

In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art. In addition, in the description of the present invention, "a plurality" means two or more unless otherwise specified. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.

The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.

Referring to fig. 1-4, in this embodiment, an intelligent auxiliary bid evaluation decision system is provided, which first establishes an intelligent auxiliary bid evaluation decision, and by accessing production operation data, bid procurement business data, and market data, realizes collection and unified management of core business data of bid procurement, and provides reference data for the contents of a bid document, and specifically operates as follows:

firstly, a screening unit 1 carries out comprehensive risk screening on transactions and administrative penalties related to credit conditions such as financial statements and operating conditions of a company and related companies of corporate legal persons;

secondly, the early warning unit 2 carries out early warning and record recording on the bidders who have bad records and have risks in the contents of the bid documents;

secondly, the first obtaining unit 3 extracts keywords and corresponding scores from the bid evaluation data in the bid document uploaded by the bid inviting party by adopting an observing ETL integrated platform, and a formula for increasing or decreasing the related scores, and communicates with the second obtaining unit 4 through a protocol;

meanwhile, the second acquisition unit 4 acquires project information of a bidder by using the visual ETL integrated platform, and communicates with the first acquisition unit 3 through a protocol, and the first acquisition unit 3 and the second acquisition unit 4 are independent of each other and respectively process own data;

then, the scoring unit 5 performs data processing on the bidding contents acquired by the second acquiring unit 4 according to the information acquired by the first acquiring unit 3, so as to ensure data consistency and score accurately;

and finally, the computing unit 6 stores a global system table through a Master, distributes work loads among the segments, integrates Segment processing results and presents final results to a client program.

The screening unit 1 specifically operates as follows:

firstly, the bidder information acquired from the screening unit 1 is used for checking whether the registration information, financial statement, payment record, enterprise development history, operation condition and the like of the company have abnormal phenomena or not;

secondly, checking whether the company has administrative penalties closely related to credit conditions or not under the condition that various data of the company are not abnormal;

and finally, under the condition that the data are not abnormal, checking the credit condition of the related company of the corporate identity of the company.

The early warning unit 2 specifically operates as follows:

firstly, searching whether the bidder has bad records through platform big data;

finally, the contents of the bidder's files are examined without bad records.

The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, many modifications and substitutions can be made without departing from the technical principle of the present invention, and these modifications and substitutions should also be regarded as the protection scope of the present invention.

Claims (10)

1. The intelligent auxiliary bid evaluation decision-making system is characterized by comprising six units:

the screening unit (1) is set as a first unit of the bid evaluation decision system and screens qualified bidders;

the early warning unit (2) is used for searching the big data, detecting bad records existing in the bidding process of the bidder and recording the detected results;

the first acquisition unit (3) is used for acquiring the scoring rule in the bidding document and determining the formulated scoring rule;

a second acquisition unit (4) for acquiring the item content of the bid document;

the scoring unit (5) is used for carrying out standard scoring on the project content of the bid document acquired by the second acquisition unit (4) according to the scoring rule acquired by the first acquisition unit (3);

and the calculating unit (6) is used for calculating the scores in the scoring unit (5) according to a preset scoring formula to obtain the total score of the bid evaluation of the bid document.

2. The system according to claim 1, wherein the first obtaining unit (3) obtains the rating rules in terms of price, material, appearance, technology, etc. specified by the bidding document given by the bidding party, and stores the rating rules in the database for use as the basis for system rating.

3. The system for intelligently assisting bid evaluation decision-making as claimed in claim 1, wherein the second obtaining unit (4) extracts key information of relevant scoring contents such as price, material, appearance, process and the like from the bid document of the bidder.

4. The system of claim 1, wherein the scoring unit (5) scores the bidding target systematically according to the scoring rules given by the bidding target in the database, and records the scores on the case.

5. The system according to claim 1, wherein the calculating unit (6) substitutes a preset scoring formula and substitutes scores of items of bidders to calculate a total score.

6. The system according to claim 1, wherein the first obtaining unit (3) extracts keywords and corresponding scores and a formula for increasing or decreasing related scores from the bidding document uploaded by the bidding party.

7. The intelligent auxiliary bid evaluation decision-making system according to claim 1, characterized in that the second acquisition unit (4) realizes storage and search of bid information by building a data integration platform, building a bid information database, deploying a data analysis platform and building a system bottom framework.

8. The system for intelligently assisting bid evaluation and decision-making according to any one of claims 1-7, characterized in that the specific bid evaluation steps are as follows:

step S1: the screening unit (1) screens the credit condition of the company and the risk of the associated company;

step S2: the early warning unit (2) carries out early warning and record putting on record on the bidders who are badly recorded and have risks;

and step S3: a first acquisition unit (3) acquires a bidding party scoring rule;

and step S4: a second acquisition unit (4) acquires project information of a bidder;

step S5: a scoring unit (5) scores items of bidders;

step S6: a calculating unit (6) performs a normative calculation of the score obtained by the bidder.

9. The system for intelligently assisting bid evaluation and decision-making as claimed in claim 1, wherein the step S1 as above comprises the following steps:

step S11: the information of the bidders acquired from the screening unit (1) is used for checking whether the registration information, financial statements, payment records, enterprise development history, operation conditions and the like of the company have abnormal phenomena or not;

step S12: checking whether there is an administrative penalty closely related to the credit status for the company in the case of no abnormality at step S11;

step S13: in the case of no abnormality in step S12, the credit status check is performed on the company related to the corporate identity.

10. The system of claim 1, wherein the step S2 comprises the following steps:

step S21: searching whether the bidder has bad records through the large platform data;

step S22: if there is no abnormality in step S21, the contents of the bidder file are checked for duplicates.

Images